160 search results - page 16 / 32 » Model Selection for Small Sample Regression |
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
BIOINFORMATICS
2005
13 years 7 months ago
2005
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
WACV
2005
IEEE
14 years 1 months ago
2005
IEEE
Many existing systems for human body tracking are based on dynamic model-based tracking that is driven by local image features. Alternatively, within a view-based approach, tracki...
JAMDS
2000
13 years 7 months ago
2000
Bian and Dickey (1996) developed a robust Bayesian estimator for the vector of regression coefficients using a Cauchy-type g-prior. This estimator is an adaptive weighted average o...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
With very noisy data, having plentiful samples eliminates overfitting in nonlinear regression, but not in nonlinear principal component analysis (NLPCA). To overcome this problem...